IOWA Wild

GP: 2 | W: 1 | L: 1 | OTL: 0 | P: 2
GF: 8 | GA: 7 | PP%: 62.50% | PK%: 66.67%
DG: Martin Gagnon | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #24 vs STOCKTON Flames
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1David Kampf0X100.0064418663787584628165607762696742996902551,500,000$
2Owen Tippett0X100.007145896579828164596263666561648699690212750,000$
3Yakov Trenin0X100.006448886581757366706362646665637199680232750,000$
4Joseph Cramarossa0X100.005970665773898656525454555775685599650271750,000$
5Yannick Veilleux0X100.006452815879807857525559565873675299650271750,000$
6Tanner Kaspick0X100.006147885574848256595354575563625899630225800,000$
7Peter Holland0XX100.005689607081505070706565506561537099610292750,000$
8Matej Stransky (R)0X100.005338706980505761305259515760507199590272750,000$
9Madison Bowey0X100.0078477267818378663073586851696471997102521,000,000$
10Mirco Mueller0X100.007948826385847762307055735169658099710251900,000$
11Matt Bartkowski0X100.006247876177838059305858625180725399680323750,000$
12Mark Alt0X100.006547895987767458305757605377795799670283750,000$
13Keegan Lowe0X100.006356815779878956305551544673775699660271750,000$
14Konrad Abeltshauser (R)0X100.0049357860884540493034285548605571995002711,500,000$
Rayé
MOYENNE D'ÉQUIPE100.00635180628075746047585661566865649965
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Louis Domingue100.00767270857574767574767575815799690
2Eric Comrie100.00756866727473757473757469736699660
3Antoine Bibeau100.00706058866968706968706971755999630
Rayé
MOYENNE D'ÉQUIPE100.0074676581737274737274737276619966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx68686868737364CAN542300,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Matt BartkowskiIOWA Wild (MIN)D2325-22033167518.75%55628.023148500004100.00%025011.7800000100
2Mark AltIOWA Wild (MIN)D2033-140737390.00%65326.750333500003000.00%033001.1200000000
3Keegan LoweIOWA Wild (MIN)D2022100409650.00%45226.430115500003000.00%013000.7600000000
4Yannick VeilleuxIOWA Wild (MIN)LW22021003172428.57%02814.310000100000000.00%100001.4000000010
5Yakov TreninIOWA Wild (MIN)C20221001312140.00%12914.5800021000000060.61%3310001.3700000000
6Peter HollandIOWA Wild (MIN)C/LW21010003440425.00%22914.91000000000100100.00%100000.6700000000
7Konrad AbeltshauserIOWA Wild (MIN)D21011003263216.67%34522.911013400004010.00%000000.4400000000
8Joseph CramarossaIOWA Wild (MIN)C2000000142060.00%02914.5400001000000037.93%2910000.0000000000
9Matej StranskyIOWA Wild (MIN)RW2000100201110.00%0157.890000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne187916260272064234010.94%2134018.9345921260000171149.23%65811010.9400000110
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Eric ComrieIOWA Wild (MIN)21100.9113.501200077928000.000020000
Stats d'équipe Total ou en Moyenne21100.9113.501200077928000.000020000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Antoine BibeauIOWA Wild (MIN)G265/1/1994No97 Kg191 CMNoNoNo2Pro & Farm750,000$737,288$500,000$491,525$0$0$No750,000$Lien
David KampfIOWA Wild (MIN)C251/12/1995No85 Kg188 CMNoNoNo5Pro & Farm1,500,000$1,474,576$750,000$737,288$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Eric ComrieIOWA Wild (MIN)G257/6/1995No80 Kg185 CMNoNoNo5Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Joseph CramarossaIOWA Wild (MIN)C2710/26/1992No87 Kg183 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Keegan LoweIOWA Wild (MIN)D273/29/1993No87 Kg188 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Konrad AbeltshauserIOWA Wild (MIN)D279/2/1992Yes102 Kg196 CMNoNoNo1Pro & Farm1,500,000$1,474,576$1,500,000$1,474,576$0$0$No
Louis DomingueIOWA Wild (MIN)G283/6/1992No95 Kg191 CMNoNoNo5Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Madison BoweyIOWA Wild (MIN)D254/22/1995No92 Kg188 CMNoNoNo2Pro & Farm1,000,000$983,051$1,000,000$983,051$0$0$No1,000,000$Lien
Mark AltIOWA Wild (MIN)D2810/18/1991No91 Kg193 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$Lien
Matej StranskyIOWA Wild (MIN)RW277/11/1993Yes95 Kg191 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$
Matt BartkowskiIOWA Wild (MIN)D326/4/1988No90 Kg185 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$Lien
Mirco MuellerIOWA Wild (MIN)D253/21/1995No95 Kg191 CMNoNoNo1Pro & Farm900,000$884,746$900,000$884,746$0$0$NoLien
Owen TippettIOWA Wild (MIN)RW212/16/1999No94 Kg185 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$Lien
Peter HollandIOWA Wild (MIN)C/LW291/14/1991No93 Kg188 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$Lien
Tanner KaspickIOWA Wild (MIN)C221/28/1998No91 Kg183 CMNoNoNo5Pro & Farm800,000$786,441$750,000$737,288$0$0$No800,000$800,000$800,000$800,000$Lien
Yakov TreninIOWA Wild (MIN)C231/13/1997No91 Kg188 CMNoNoNo2Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$Lien
Yannick VeilleuxIOWA Wild (MIN)LW272/22/1993No89 Kg188 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1726.1291 Kg188 CM2.53864,706$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
2Yannick VeilleuxYakov Trenin26122
3Peter HollandJoseph CramarossaMatej Stransky23122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt31122
2Keegan LoweKonrad Abeltshauser26122
3Matt BartkowskiMark Alt23122
4Keegan LoweKonrad Abeltshauser20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Yannick VeilleuxYakov Trenin45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Yakov Trenin45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Matt BartkowskiMark Alt55122
245122Keegan LoweKonrad Abeltshauser45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Yakov Trenin45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiMark Alt55122
2Keegan LoweKonrad Abeltshauser45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt BartkowskiMark Alt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt BartkowskiMark Alt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joseph Cramarossa, , Peter HollandJoseph Cramarossa, Peter Holland
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Bartkowski, Mark Alt, Keegan LoweMatt BartkowskiMark Alt, Keegan Lowe
Tirs de Pénalité
, , , Yakov Trenin,
Gardien
#1 : Eric Comrie, #2 :
Lignes d'Attaque Perso. en Prol.
, , , Yakov Trenin, , Yannick Veilleux, Yannick Veilleux, Joseph Cramarossa, , Peter Holland, Matej Stransky
Lignes de Défense Perso. en Prol.
Matt Bartkowski, Mark Alt, Keegan Lowe, Konrad Abeltshauser,


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1CHICAGO Wolves11000000853000000000001100000085321.0008122000044050182525049158296583.33%4250.00%0195435.19%196330.16%113135.48%402453152613
2LEHIGH VALLEY Phantoms1010000002-2000000000001010000002-200.000000000440181825250306412200.00%20100.00%0195435.19%196330.16%113135.48%402453152613
Total21100000871000000000002110000087120.50081220000440681825250792112418562.50%6266.67%0195435.19%196330.16%113135.48%402453152613
_Since Last GM Reset21100000871000000000002110000087120.50081220000440681825250792112418562.50%6266.67%0195435.19%196330.16%113135.48%402453152613
_Vs Conference21100000871000000000002110000087120.50081220000440681825250792112418562.50%6266.67%0195435.19%196330.16%113135.48%402453152613

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
22L181220687921124100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
211000087
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000087
Derniers 10 Matchs
WLOTWOTL SOWSOL
110000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8562.50%6266.67%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
18252500440
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
195435.19%196330.16%113135.48%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
402453152613


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2021-01-174IOWA Wild8CHICAGO Wolves5WSommaire du Match
2 - 2021-01-1813IOWA Wild0LEHIGH VALLEY Phantoms2LSommaire du Match
3 - 2021-01-1924STOCKTON Flames-IOWA Wild-
5 - 2021-01-2141IOWA Wild-LEHIGH VALLEY Phantoms-
6 - 2021-01-2248BAKERSFIELD Condors-IOWA Wild-
7 - 2021-01-2358IOWA Wild-SYRACUSE Crunch-
8 - 2021-01-2472SYRACUSE Crunch-IOWA Wild-
10 - 2021-01-2693LEHIGH VALLEY Phantoms-IOWA Wild-
13 - 2021-01-29111ONTARIO Reign-IOWA Wild-
15 - 2021-01-31125IOWA Wild-ROCKFORD IceHogs-
16 - 2021-02-01137STOCKTON Flames-IOWA Wild-
17 - 2021-02-02147IOWA Wild-SYRACUSE Crunch-
19 - 2021-02-04161BAKERSFIELD Condors-IOWA Wild-
20 - 2021-02-05174IOWA Wild-ONTARIO Reign-
21 - 2021-02-06186IOWA Wild-STOCKTON Flames-
22 - 2021-02-07197LEHIGH VALLEY Phantoms-IOWA Wild-
24 - 2021-02-09210IOWA Wild-TORONTO Marlies-
25 - 2021-02-10220IOWA Wild-STOCKTON Flames-
27 - 2021-02-12232BAKERSFIELD Condors-IOWA Wild-
28 - 2021-02-13249ROCKFORD IceHogs-IOWA Wild-
30 - 2021-02-15265CAROLINA Checkers-IOWA Wild-
31 - 2021-02-16275IOWA Wild-SYRACUSE Crunch-
32 - 2021-02-17285IOWA Wild-SAN ANTONIO Rampage-
33 - 2021-02-18297IOWA Wild-LEHIGH VALLEY Phantoms-
35 - 2021-02-20310BROOKLYN Wolfpack-IOWA Wild-
37 - 2021-02-22327SYRACUSE Crunch-IOWA Wild-
38 - 2021-02-23342IOWA Wild-MILWAUKEE Admirals-
40 - 2021-02-25352STOCKTON Flames-IOWA Wild-
41 - 2021-02-26365IOWA Wild-LEHIGH VALLEY Phantoms-
43 - 2021-02-28380COLORADO Eagles-IOWA Wild-
44 - 2021-03-01389IOWA Wild-BRIDGEPORT Sound Tigers-
46 - 2021-03-03406BRIDGEPORT Sound Tigers-IOWA Wild-
47 - 2021-03-04420IOWA Wild-COLORADO Eagles-
48 - 2021-03-05429GRAND RAPIDS Griffins-IOWA Wild-
50 - 2021-03-07439IOWA Wild-SCRANTON Penguins-
51 - 2021-03-08454MILWAUKEE Admirals-IOWA Wild-
53 - 2021-03-10469IOWA Wild-ROCKFORD IceHogs-
54 - 2021-03-11482TUSCON Roadrunners-IOWA Wild-
55 - 2021-03-12493IOWA Wild-TUSCON Roadrunners-
56 - 2021-03-13509SAN ANTONIO Rampage-IOWA Wild-
58 - 2021-03-15521IOWA Wild-CHICAGO Wolves-
59 - 2021-03-16533STOCKTON Flames-IOWA Wild-
61 - 2021-03-18551IOWA Wild-BROOKLYN Wolfpack-
62 - 2021-03-19560LAVAL Rocket-IOWA Wild-
64 - 2021-03-21578IOWA Wild-GRAND RAPIDS Griffins-
65 - 2021-03-22588TORONTO Marlies-IOWA Wild-
66 - 2021-03-23602UTICA Comets-IOWA Wild-
67 - 2021-03-24609IOWA Wild-SCRANTON Penguins-
70 - 2021-03-27630ONTARIO Reign-IOWA Wild-
71 - 2021-03-28643IOWA Wild-HERSEY Bears-
72 - 2021-03-29654ONTARIO Reign-IOWA Wild-
73 - 2021-03-30665IOWA Wild-CAROLINA Checkers-
75 - 2021-04-01671IOWA Wild-BINGHAMTON Devils-
76 - 2021-04-02684IOWA Wild-ONTARIO Reign-
78 - 2021-04-04698HERSEY Bears-IOWA Wild-
79 - 2021-04-05712IOWA Wild-CHICAGO Wolves-
81 - 2021-04-07725SAN DIEGO Gulls-IOWA Wild-
82 - 2021-04-08744MANITOBA Moose-IOWA Wild-
84 - 2021-04-10755IOWA Wild-PROVIDENCE Bruins-
85 - 2021-04-11764IOWA Wild-BELLEVILLE Senators-
87 - 2021-04-13776BELLEVILLE Senators-IOWA Wild-
88 - 2021-04-14790IOWA Wild-SAN DIEGO Gulls-
90 - 2021-04-16805PROVIDENCE Bruins-IOWA Wild-
91 - 2021-04-17815IOWA Wild-UTICA Comets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19830BELLEVILLE Senators-IOWA Wild-
94 - 2021-04-20843IOWA Wild-BELLEVILLE Senators-
96 - 2021-04-22855BINGHAMTON Devils-IOWA Wild-
97 - 2021-04-23872CHICAGO Wolves-IOWA Wild-
98 - 2021-04-24883IOWA Wild-BAKERSFIELD Condors-
100 - 2021-04-26900MANITOBA Moose-IOWA Wild-
101 - 2021-04-27909IOWA Wild-MANITOBA Moose-
102 - 2021-04-28920IOWA Wild-BAKERSFIELD Condors-
104 - 2021-04-30932LEHIGH VALLEY Phantoms-IOWA Wild-
105 - 2021-05-01944IOWA Wild-LAVAL Rocket-
107 - 2021-05-03958CHICAGO Wolves-IOWA Wild-
109 - 2021-05-05977BINGHAMTON Devils-IOWA Wild-
110 - 2021-05-06984IOWA Wild-CAROLINA Checkers-
111 - 2021-05-07996IOWA Wild-GRAND RAPIDS Griffins-
113 - 2021-05-091012TORONTO Marlies-IOWA Wild-
116 - 2021-05-121034SCRANTON Penguins-IOWA Wild-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
24,916$ 1,470,000$ 1,365,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 24,916$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 116 12,458$ 1,445,128$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
348030310193624122615401814012321251012440121700704116125-983241422663449575678236481377177349259876448613432444518.44%2235475.78%01009240641.94%996271436.70%465119338.98%179912672091568982472
348030310193624122615401814012321251012440121700704116125-983241422663449575678236481377177349259876448613432444518.44%2235475.78%01009240641.94%996271436.70%465119338.98%179912672091568982472
36211000008710000000000021100000871281220000440681825250792112418562.50%6266.67%0195435.19%196330.16%113135.48%402453152613
Total Saison Régulière16261630218612490459318036280246425020248822535001408240257-17168490856134688190154138164796164415671571985275154998427274969519.15%45211075.66%02037486641.86%2011549136.62%941241738.93%36382560423611511991958